Smooth Filters for Improving Prony’s Method in Labview Environment

Abstract

Exponentially decaying signals occur in various parts of nature and affect the performance and flexibility of signals. In fact, that drives scientists to invest in a perpetual search for new solutions. To meet this challenge few methods are proposed. In this study, we focused on the use of the Prony Method and Bessel and Butterworth smoothing methods in the LabVIEW environment for estimating the parameters of a sum of real exponential signals in the presence of noise. The performances of the proposed method are illustrated using simulated data, clearly showing the improved performance of the Prony Method and especially with Butterworth filter.